https://github.com/leodeveloper/ollamaraglocallargelanguage

how to create a local RAG (Retrieval Augmented Generation) pipeline that processes and allows you to chat with your PDF file(s) using Ollama and LangChain!
https://github.com/leodeveloper/ollamaraglocallargelanguage

chromadb llama3 ollama open-source python rag vector-database

Last synced: about 2 months ago
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how to create a local RAG (Retrieval Augmented Generation) pipeline that processes and allows you to chat with your PDF file(s) using Ollama and LangChain!

• Host: GitHub
• URL: https://github.com/leodeveloper/ollamaraglocallargelanguage
• Owner: leodeveloper
• License: mit
• Created: 2024-05-11T04:11:33.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-11T06:09:17.000Z (about 2 years ago)
• Last Synced: 2025-03-28T15:46:18.715Z (about 1 year ago)
• Topics: chromadb, llama3, ollama, open-source, python, rag, vector-database
• Language: Jupyter Notebook
• Homepage:
• Size: 2.51 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# RAG Chat with Ollama and LangChain

![RAG Chat Logo](https://github.com/leodeveloper/OllamaRAGLocalLargeLanguage/blob/main/RAGLocalOllama.png)

Welcome to RAG Chat, your local Retrieval Augmented Generation (RAG) pipeline! This application allows you to interactively chat with your PDF files using the power of Ollama and LangChain.

## Features

- **RAG Pipeline**: Utilizes the latest advancements in NLP with Llama3 and Ollama to process and enhance your PDF documents.

- **Interactive Chat**: Engage in conversational interactions with your PDF content, asking questions and getting detailed responses.

- **LangChain Integration**: Seamlessly integrates with LangChain for enhanced language understanding and generation.

- **Local Processing**: All processing is done locally, ensuring data privacy and security.

## Installation

To install RAG Chat, follow these steps:

1. Clone this repository to your local machine.

   ```bash

    https://github.com/leodeveloper/OllamaRAGLocalLargeLanguage

##courtesy

https://github.com/tonykipkemboi/ollama_pdf_rag